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Remote Machine Learning Compiler Engineer Jobs in Colorado

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... science, AI, machine learning, probability modeling, data mining, data engineering, or data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Chief Engineer

Colorado Springs, CO · On-site +1

$160K - $190K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

Chief Engineer

Colorado Springs, CO · On-site +1

$169K - $190K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

Lead Cloud Platform & Dev Ops Engineer

Denver, CO · On-site +1

$54.25 - $74.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Lead Cloud Platform & DevOps Engineer is responsible for leading the design, implementation ... Contribute to automation and data-driven technologies, including support for machine learning and ...

Lead Cloud Platform & Dev Ops Engineer

Denver, CO · On-site +1

$54.25 - $74.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Lead Cloud Platform & DevOps Engineer is responsible for leading the design, implementation ... Contribute to automation and data-driven technologies, including support for machine learning and ...

Software Engineer II

Denver, CO · On-site +1

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The platform transforms data from multiple sources, uses Azure's machine-learning capabilities for ... This is a mostly remote position; candidates should reside or be willing to relocate to Northern ...

Computer Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... science, AI, machine learning, probability modeling, data mining, data engineering, or data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Analytic Methodologist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... science, AI, machine learning, probability modeling, data mining, data engineering, or data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Showing results 41-60

Remote Machine Learning Compiler Engineer information

What is a remote machine learning compiler engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

How does a remote machine learning compiler engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What are the key skills and qualifications needed to thrive as a remote machine learning compiler engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Colorado?

The most popular types of Machine Learning Compiler Engineer jobs in Colorado are:

What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Colorado?

For Remote Machine Learning Compiler Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Colorado look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Colorado are:

What cities in Colorado are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities in Colorado with the most Remote Machine Learning Compiler Engineer job openings:

Data Scientist, Mid

Booz Allen Hamilton, Inc.

Aurora, CO • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 8 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0247078
Location:
Aurora,CO,US
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Data Scientist, Mid
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need you to help find the answers in the data.
On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
  • Experience building advanced analytics and AI/ML models, particularly tools leveraging LLMs or agentic AI, including data retrieval and cleaning, modeling, accuracy evaluation, testing, and visualization
  • Experience working on classified networks in support of DoW or IC clients
  • Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks, and articulating "go or no-go" criteria clearly
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree and 3+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 7+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree

Nice If You Have:
  • 2+ years of experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
  • 2+ years of experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • 2+ years of experience with Machine Learning, AI, or NLP
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2
  • TS/SCI clearance with a polygraph
  • Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914